class_docstr: Pytorch Dataset for InputFeatures
      
class_docstr_tok: ["Pytorch","Dataset","for","InputFeatures"]
code: def __getitem__(self, index):
      return self.features[index]
  
file_path: DeepKE/src/deepke/triple_extraction/PRGC/dataloader.py
imports: import os
  import json
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, Dataset
  from transformers import BertTokenizer
  from .dataloader_utils import read_examples, convert_examples_to_features
label_desc: Use image node_id 3 for calling the FeatureDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: self